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dc.contributor.authorBelletti, Alessandro-
dc.contributor.authorNaorungroj, Thummaporn-
dc.contributor.authorYanase, Fumitaka-
dc.contributor.authorEastwood, Glenn M-
dc.contributor.authorWeinberg, Laurence-
dc.contributor.authorBellomo, Rinaldo-
dc.identifier.citationJournal of Clinical Monitoring and Computing 2020; online first: 11 Novemberen
dc.description.abstractProcessed electroencephalography (pEEG) is used to monitor depth of anaesthesia and/or sedation. A novel device (SedLine®) has been recently introduced into clinical practice. However, there are no published data on baseline SedLine values for awake adult subjects. We aimed to determine baseline values for SedLine-derived parameters in eyes-open and eyes-closed states. We performed a prospective observational study in healthy volunteers. SedLine EEG-derived parameters were recorded for 2 min with eyes closed and 8 min with eyes open. We determined the overall reference range for each value, as well as the reference range in each phase. We investigated changes in recorded parameters between the two phases, and the interaction between EMG, baseline characteristics, and Patient State Index (PSI). We collected data from 50 healthy volunteers, aged 23-63 years. Median PSI was 94 (92-95) with eyes open and 88 (87-91) with eyes closed (p < 0.001 for open versus close). EMG activity decreased from 47.2% (46.6-47.9) with eyes open to 28.6% (28.0-29.3) with eyes closing (p < 0.001). There was a significant positive correlation between EMG and PSI with eyes closed (p = 0.01) but not with eyes open, which was confirmed with linear regression analysis (p = 0.01). In awake volunteers, keeping eyes open induces significant changes to SedLine-derived parameters, most likely due to increased EMG activity (e.g. eye blinking). These findings have implications for the clinical interpretation of PSI parameters and for the planning of future research.en
dc.titleNormative values for SedLine-based processed electroencephalography parameters in awake volunteers: a prospective observational study.en
dc.typeJournal Articleen
dc.identifier.journaltitleJournal of Clinical Monitoring and Computingen
dc.identifier.affiliationData Analytics Research and Evaluation (DARE) Centreen
dc.identifier.affiliationDepartment of Surgery, The University of Melbourne, Melbourne, VIC, Australiaen
dc.identifier.affiliationDepartment of Medicine, The University of Melbourne, Melbourne, VIC, Australiaen
dc.identifier.affiliationIntensive Careen
dc.identifier.affiliationDepartment of Intensive Care, Siriraj Hospital, Mahidol University, Bangkok, Thailand..en
dc.identifier.affiliationDepartment of Anaesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy..en
dc.identifier.affiliationAustralian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, VIC, Australiaen
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